Johns Hopkins applied mathematicians and astronomers have developed a new method to render images from ground-based ...

Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

The latest Apple-made artificial intelligence model, FastVLM, is now available for users to try out, offering a significantly faster video-captioning AI that can describe what the camera captures on ...

Abstract: This study discusses image preprocessing, defect detection algorithm and system design and implementation, emphasizes the importance of preprocessing steps such as denoising, enhancement, ...

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In developed countries, the concentration of Cu(II) ions in ...

Your iPhone’s camera is smart—perhaps too smart. It’s smart enough to relight your selfies and remove distracting background objects from your photos. It’s the kind of reality-altering power that ...

Abstract: With the rapid development of information technology, computer technology has been widely used in many industries; industry upgrading speed is getting faster and faster, market competition ...